458 search results - page 48 / 92 » Q-Decomposition for Reinforcement Learning Agents |
AAAI
1998
13 years 10 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
ATAL
2005
Springer
14 years 2 months ago
2005
Springer
Temporal difference (TD) learning methods [22] have become popular reinforcement learning techniques in recent years. TD methods have had some experimental successes and have been...
ECAI
2008
Springer
13 years 10 months ago
2008
Springer
From a conceptual point of view, belief revision and learning are quite similar. Both methods change the belief state of an intelligent agent by processing incoming information. Ho...
AAAI
2010
13 years 10 months ago
2010
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
EWCBR
2006
Springer
14 years 19 days ago
2006
Springer
Abstract. In both research fields, Case-Based Reasoning and Reinforcement Learning, the system under consideration gains its expertise from experience. Utilizing this fundamental c...